	US 12,464,125 B2
	Method and apparatus for video coding using deep learning based in-loop filter for inter prediction
Je Won Kang, Seoul (KR); Na Young Kim, Seoul (KR); Jung Kyung Lee, Seoul (KR); and Seung Wook Park, Yongin-si (KR)
Assigned to HYUNDAI MOTOR COMPANY, Seoul (KR); KIA CORPORATION, Seoul (KR); and EWHA UNIVERSITY—INDUSTRY COLLABORATION FOUNDATION, Seoul (KR)
Filed by HYUNDAI MOTOR COMPANY, Seoul (KR); KIA CORPORATION, Seoul (KR); and EWHA UNIVERSITY—INDUSTRY COLLABORATION FOUNDATION, Seoul (KR)
Filed on Sep. 26, 2023, as Appl. No. 18/373,113.
Application 18/373,113 is a continuation of application No. PCT/KR2022/004171, filed on Mar. 24, 2022.
Claims priority of application No. 10-2021-0042090 (KR), filed on Mar. 31, 2021; and application No. 10-2022-0036249 (KR), filed on Mar. 23, 2022.
Prior Publication US 2024/0031580 A1, Jan. 25, 2024
Int. Cl. H04N 19/59 (2014.01); G06T 5/20 (2006.01); G06T 5/60 (2024.01); G06T 5/70 (2024.01); G06V 10/771 (2022.01); H04N 19/124 (2014.01); H04N 19/132 (2014.01); H04N 19/159 (2014.01)

CPC H04N 19/124 (2014.11) [G06T 5/20 (2013.01); G06T 5/60 (2024.01); G06T 5/70 (2024.01); G06V 10/771 (2022.01); H04N 19/132 (2014.11); H04N 19/159 (2014.11)]

15 Claims

1. A method for filtering an image area performed by a video decoding device, the method comprising:

obtaining an image area having been reconstructed and a quantization parameter of the image area;

generating an embedding vector based on the quantization parameter and a prediction type of the image area; and

generating a filtered image area of the image area based on the embedding vector by using a denoising model that is based on deep learning,

wherein the prediction type of the image area indicates one of an intra prediction type in which the image area is predicted independently, a predictive type in which the image area is predicted based on a reference image area in a single direction, or a bi-predictive type in which the image area is predicted based on at least one reference image area in bi-directions.